Urban Noise Pollution Sensor Data

This dataset provides granular, time-stamped urban noise pollution readings from city-wide sensors, including precise location data and regulatory compliance indicators. It enables analysis of noise trends, identification of hotspots, and supports city planning and public health initiatives by linking measured noise levels to legal thresholds.

  • opened 5 times
  • last updated 21 Aug 2025
  • by GoMask
The brief that made it

Monitoring and enforcing urban noise regulations

Sample rows

preview · 8 of 200 rows · all 13 columns
sensor_idstringnoise_typestringregulatory_limit_dbfloatexceeds_regulatory_limitbooleancountrystringsensor_location_namestringlatitudefloatlongitudefloatreading_idstringtimestampdatetimenoise_level_dbfloatcitystringstatestring
SEN-0001traffic65trueUSAMain St & 5th Ave34.0522-118.2437RD-202406010012024-06-01T00:05:12Z72.5Los AngelesCA
SEN-0002nature45falseUSACentral Park North Gate40.7975-73.958RD-202406010022024-06-01T01:18:34Z38.6New YorkNY
SEN-0003crowd75trueUSADowntown Plaza41.8781-87.6298RD-202406010032024-06-01T02:27:10Z91.3ChicagoIL
SEN-0004construction80trueUSAHarbor Industrial Zone47.6062-122.3321RD-202406010042024-06-01T03:45:19Z83SeattleWA
SEN-0005nature50falseUSASunset Beach Boardwalk33.7205-118.0806RD-202406010052024-06-01T04:02:41Z42.1Huntington BeachCA
SEN-0006crowd70falseUKCity Hall Square51.5074-0.1278RD-202406010062024-06-01T05:13:05Z68.2LondonEngland
SEN-0007crowd65trueAustraliaOpera House Steps-33.8568151.2153RD-202406010072024-06-01T06:25:14Z75SydneyNSW
SEN-0008nature35falseUSAMountain Peak Trailhead39.7392-104.9903RD-202406010082024-06-01T07:37:58Z24.7DenverCO

What the 200 rows show

from the 200-row sample

Nature (noise type) stands out: mean regulatory_limit_db is 42.6, against 70.3 for the rest.

  • 54%exceeds_regulatory_limit = true
  • 65median regulatory_limit_db
  • 67.3median noise_level_db
Mean regulatory_limit_db by noise_type200 rows
05010067.0traffic46 rows80.2constr…23 rows66.6crowd64 rows42.6nature50 rows80.0unknown17 rows
regulatory_limit_db200 rows, in bands of 10
03060122718535337306090regulatory_limit_db →

Median 65, from 30 to 85.

country200 rows · top 10 of 34 values
  1. USA57
  2. China13
  3. UK11
  4. Australia11
  5. India11
  6. France7
  7. Japan7
  8. Norway7
  9. Canada7
  10. South Africa6
13 columns by typefrom the column list below
  • string 7
  • float 4
  • datetime 1
  • boolean 1

Columns

13 columns in four groups
blueprint · 13 columns
columntypedescriptionexample
Text 7 columns
sensor_idstringUnique identifier for each noise sensor deviceuniqueSEN-0001
sensor_location_namestringHuman-readable name or description of the sensor's location (e.g., 'Main St & 5th Ave')Main St & 5th Ave
reading_idstringUnique identifier for each noise reading eventuniqueRD-20240601001
noise_typestringType of noise detected (e.g., traffic, construction, crowd, unknown)traffic · construction · crowd · nature · unknown · optionaltraffic
citystringCity where the sensor is locatedLos Angeles
statestringState or region where the sensor is locatedCA
countrystringCountry where the sensor is locatedUSA
Numbers 4 columns
latitudefloatLatitude coordinate of the sensor's location-90 to 9034.0522
longitudefloatLongitude coordinate of the sensor's location-180 to 180-118.2437
noise_level_dbfloatMeasured noise level in decibels (dB)0 or more72.5
regulatory_limit_dbfloatMaximum allowed noise level in decibels for the location and time (regulatory threshold)0 or more · optional65
Dates and times 1 column
timestampdatetimeDate and time when the noise reading was recorded (ISO 8601 format)2024-06-01T00:05:12Z
True or false 1 column
exceeds_regulatory_limitbooleanIndicates if the measured noise level exceeds the regulatory limitoptionaltrue

Use it for

  • exceeds regula…54%108 of 200 rowsmean regulatory limit…67.0traf…80.2cons…66.6crowd42.6natu…

    A government dashboard

    The exceeds_regulatory_limit rate, regulatory_limit_db by noise_type and a breakdown of country. Excel, Power BI or Tableau.

  • Why do the 50 nature rows have a mean regulatory_limit_db of 42.6?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable sensors with sensor_location_name, latitude and longitude to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 13 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset200 rows13 columns
Yours1,000 rows13 columnssensor_location_name: UK only

blueprint · urban-noise-pollution-sensor-data

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 13 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Sensor ID and precise location included
  • Noise level in decibels recorded hourly
  • Source of noise estimated (traffic, construction)
  • Regulatory limit comparison provided
  • Sensor maintenance status logged
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
urban-noise-pollution-sensor-data

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